Details
Description
Check the user guide vs. a list of new APIs (classes, methods, data members) to see what items require updates to the user guide.
For each feature missing user guide doc:
- Create a JIRA for that feature, and assign it to the author of the feature
- Link it to (a) the original JIRA which introduced that feature ("related to") and (b) to this JIRA ("requires").
For MLlib:
- This task does not include major reorganizations for the programming guide; that will be under
SPARK-14817. - We should now begin copying algorithm details from the spark.mllib guide to spark.ml as needed, rather than just linking back to the corresponding algorithms in the spark.mllib user guide.
If you would like to work on this task, please comment, and we can create & link JIRAs for parts of this work (which should be broken into pieces for this larger 2.0 release).
Attachments
Issue Links
- blocks
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SPARK-14817 ML, Graph, R 2.0 QA: Programming guide update and migration guide
- Resolved
- incorporates
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SPARK-15182 Copy MLlib doc to ML: ml.feature
- Resolved
- requires
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SPARK-15186 Add user guide for Generalized Linear Regression.
- Resolved
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SPARK-15394 ML user guide typos and grammar audit
- Resolved
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SPARK-14340 Add Scala Example and User DOC for ml.BisectingKMeans
- Resolved
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SPARK-14979 Add examples for GeneralizedLinearRegression
- Resolved
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SPARK-15484 Document Iteratively reweighted least squares (IRLS) in user guide
- Resolved
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SPARK-15099 Audit: ml.regression
- Resolved
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SPARK-15100 Audit: ml.feature
- Resolved
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SPARK-15129 Clarify conventions for calling Spark and MLlib from R
- Resolved
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SPARK-14434 User guide doc and examples for GaussianMixture in spark.ml
- Resolved
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SPARK-15098 Audit: ml.classification
- Resolved
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SPARK-15101 Audit: ml.clustering and ml.recommendation
- Resolved
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SPARK-15997 Audit ml.feature Update documentation for ml feature transformers
- Resolved
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SPARK-15608 Add document for ML IsotonicRegression
- Resolved